Results 131 to 140 of about 918,366 (270)

Super-paramagnetic clustering of yeast gene expression profiles [PDF]

open access: green, 2000
Gad Getz   +3 more
openalex   +1 more source

Gene expression profiling in B-cell non-Hodgkin lymphomas

open access: yesIraqi Journal of Hematology
BACKGROUND: Gene expression profiling has become a fundamental tool in cancer diagnosis and management. B-cell non-Hodgkin lymphoma (B-NHL) is a group of malignant neoplasms originating from the lymphoid tissues, mainly the lymph nodes and the gene ...
Renas N. Saleem, Ahmed Khudair Yassin
doaj   +1 more source

Integrated analysis of yield response and early stage biochemical, molecular, and gene expression profiles of pre-breeding rice lines under water deficit stress

open access: yesScientific Reports
Breeding high yielding water-deficit tolerant rice is considered a primary goal for achieving the objectives of the sustainable development goals, 2030.
Hayat Ali Alafari   +7 more
doaj   +1 more source

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks [PDF]

open access: yesarXiv
Systematic characterization of biological effects to genetic perturbation is essential to the application of molecular biology and biomedicine. However, the experimental exhaustion of genetic perturbations on the genome-wide scale is challenging. Here, we show that TranscriptionNet, a deep learning model that integrates multiple biological networks to ...
arxiv  

Fundamental patterns underlying gene expression profiles: Simplicity from complexity [PDF]

open access: green, 2000
Neal S. Holter   +5 more
openalex   +1 more source

Gene expression profiling in multiple sclerosis brain

open access: yesNeurobiology of Disease, 2012
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system and the leading cause of non-traumatic neurological disability in young adults in the United States and Europe.
Ranjan Dutta, Bruce D. Trapp
doaj  

Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction [PDF]

open access: yesarXiv
Prediction of mRNA gene-expression profiles directly from routine whole-slide images (WSIs) using deep learning models could potentially offer cost-effective and widely accessible molecular phenotyping. While such WSI-based gene-expression prediction models have recently emerged within computational pathology, the high-dimensional nature of the ...
arxiv  

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